Matthias Griebel

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 4

Top Topics

Convolutional Neural Network

Artificial Intelligence

Top Venues

Nature communications

Julius-Maximilians-Universität Würzburg

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Julius-Maximilians-Universität Würzburg Jun 01 2017

Germany

PhD Student

Publications

Matthias Griebel, Dennis Segebarth, Nikolai Stein, Nina Schukraft, Philip Tovote, Robert Blum, Christoph M Flath
Deep learning-enabled segmentation of ambiguous bioimages with deepflash2. Nature communications 14 (1) (2023)
Matthias Griebel, Dennis Segebarth, Nikolai Stein, Nina Schukraft, Philip Tovote, Robert Blum, Christoph M Flath
Deep learning-enabled segmentation of ambiguous bioimages with deepflash2. Nature communications 14 (1) (2023)
Matthias Griebel, Dennis Segebarth, Nikolai Stein, Nina Schukraft, Philip Tovote, Robert Blum, Christoph M Flath
Deep learning-enabled segmentation of ambiguous bioimages with deepflash2. Nature communications 14 (1) (2023)
Dennis Segebarth, Matthias Griebel, Nikolai Stein, Cora R von Collenberg, Corinna Martin, Dominik Fiedler, Lucas B Comeras, Anupam Sah, Victoria Schoeffler, Teresa Lüffe, Alexander Dürr, Rohini Gupta, Manju Sasi, Christina Lillesaar, Maren D Lange, Ramon O Tasan, Nicolas Singewald, Hans-Christian Pape, Christoph M Flath, Robert Blum
On the objectivity, reliability, and validity of deep learning enabled bioimage analyses. eLife 9 (2020)